Results 31 to 40 of about 382,825 (168)

Random Noise Suppression Method of Micro-Seismic Data Based on CEEMDAN-FE-TFPF

Applied Sciences, 2022
As rock fractures caused by micro-seismic events has potential safety hazards to underground workers, it is often necessary to accurately locate the micro-seismic source for hidden danger investigation.
Jianting Chen, Jianfei Fu, Hao Cheng, Sanshi Jia, Yuzeng Yao, Di Yan   +5 more
doaj   +1 more source

A study of discrete wavelet transform based denoising to reduce the effect of artificial light interferences for indoor optical wireless communication [PDF]

, 2010
The optical power penalty (OPP) due to the artificial light interferences (ALIs) can be significantly high in an indoor optical wireless communication (OWC) channel making such link practically infeasible.
Ghassemlooy, Zabih, M. Angelova, Z. Ghassemlooy, Angelova, Maia, Rajbhandari, Sujan, S. Rajbhandari   +5 more
core   +1 more source

SeisDeNet: an intelligent seismic data Denoising network for the internet of things

Journal of Cloud Computing: Advances, Systems and Applications, 2023
Deep learning (DL) has attracted tremendous interest in various fields in last few years. Convolutional neural networks (CNNs) based DL architectures have been successfully applied in computer vision, medical image processing, remote sensing, and many ...
Yu Sang, Yanfei Peng, Mingde Lu, Chen Zhao, Liquan Li, Tianjiao Ma   +5 more
doaj   +1 more source

Wavelet‐Based Hurst Exponent Estimation

WIREs Computational Statistics, Volume 18, Issue 3, September 2026.
The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa, Fabrizio Ruggeri, Brani Vidakovic   +2 more
wiley   +1 more source

Removing multiple types of noise of distributed acoustic sensing seismic data using attention-guided denoising convolutional neural network

Frontiers in Earth Science, 2023
In recent years, distributed optical fiber acoustic sensing (DAS) technology has been increasingly used for vertical seismic profile (VSP) exploration. Even though this technology has the advantages of high spatial resolution, strong resistance to high ...
Cong Wang, Xingguo Huang, Yue Li, Kristian Jensen   +3 more
doaj   +1 more source

Deep Seismic Tremors in the 2025 Santorini Seismo‐Volcanic Crisis Highlight Magmatic Feeding From a Mid‐Crustal Reservoir

Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract An intense seismic swarm started on 27 January 2025 in the Santorini‐Amorgos region and lasted for approximately 45 days. A widely observed seismic tremor on 14 February 2025 suggested a volcanic origin for the 2025 Santorini crisis. Here we present an in‐depth combined seismological analysis of the earthquakes and tremors that occurred during
Jean Soubestre, Jannes Münchmeyer, Quentin Higueret, Nikolai M. Shapiro, Florent Brenguier, Anthony Lomax   +5 more
wiley   +1 more source

Regional Seismic Wavefield Propagation [PDF]

, 2004
Through the examination of local and regional seismic waveform data the crust and upper mantle of southern California are investigated. Using local and regional seismic phases such as Pn, Sn, PL, and surface waves, seismic wave velocities of interesting
Savage, Brian Kirk
core   +1 more source

Multiscale dilated denoising convolution with channel attention mechanism for micro-seismic signal denoising

Journal of Petroleum Exploration and Production Technology
Denoising micro-seismic signals is paramount for ensuring reliable data for localizing mining-related seismic events and analyzing the state of rock masses during mining operations.
Jianxian Cai, Zhijun Duan, Li Wang, Juan Meng, Zhenjing Yao   +4 more
doaj   +1 more source

Random Noise Attenuation Based on Residual Convolutional Neural Network in Seismic Datasets

IEEE Access, 2020
Seismic random noise attenuation is a key step in seismic data processing. The random seismic data recorded by the detector tends to have strong noise, and this noisy seismic ratio can be seen as a low signal-to-noise ratio (SNR).
Liuqing Yang, Wei Chen, Wei Liu, Bei Zha, Linqi Zhu   +4 more
doaj   +1 more source

Locating Moonquakes With Single‐Station Seismology

Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract Renewed international interest in lunar seismometer deployments requires robust single‐station location approach for the highly scattering Moon's crust. We present an event‐location strategy using major lunar event types recorded by the Apollo seismic network. Frequency‐dependent polarization analysis provides P‐wave back‐azimuth and incidence,
Doyeon Kim, Jung‐Hun Song, Nicholas C. Schmerr   +2 more
wiley   +1 more source